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Learning about Risk and Return: A Simple Model of Bubbles and Crashes

Citations

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Cited by:

  1. is not listed on IDEAS
  2. Kuang, Pei, 2014. "A model of housing and credit cycles with imperfect market knowledge," European Economic Review, Elsevier, vol. 70(C), pages 419-437.
  3. George W. Evans, 2011. "Comment on "Natural Expectations, Macroeconomic Dynamics, and Asset Pricing"," NBER Chapters, in: NBER Macroeconomics Annual 2011, Volume 26, pages 61-71, National Bureau of Economic Research, Inc.
  4. Branch, William A. & Petrosky-Nadeau, Nicolas & Rocheteau, Guillaume, 2016. "Financial frictions, the housing market, and unemployment," Journal of Economic Theory, Elsevier, vol. 164(C), pages 101-135.
  5. Michele Berardi, 2021. "Learning from prices: information aggregation and accumulation in an asset market," Annals of Finance, Springer, vol. 17(1), pages 45-77, March.
  6. Jorge Uribe & Juli�n Fern�ndez, 2014. "Burbujas financieras y comportamiento reciente de los mercados de acciones en América Latina," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 81, pages 57-90.
  7. Caspi, Itamar & Katzke, Nico & Gupta, Rangan, 2018. "Date stamping historical periods of oil price explosivity: 1876–2014," Energy Economics, Elsevier, vol. 70(C), pages 582-587.
  8. Nakov, Anton & Nuño, Galo, 2015. "Learning from experience in the stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 224-239.
  9. George W. Evans & Seppo Honkapohja & Kaushik Mitra, 2022. "Expectations, Stagnation, And Fiscal Policy: A Nonlinear Analysis," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1397-1425, August.
  10. Michele Berardi, 2018. "Information aggregation and learning in a dynamic asset pricing model," Centre for Growth and Business Cycle Research Discussion Paper Series 241, Economics, The University of Manchester.
  11. Evans, George & McGough, Bruce, 2025. "Social learning and expectational stability," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
  12. Evans, George W. & Hommes, Cars & McGough, Bruce & Salle, Isabelle, 2022. "Are long-horizon expectations (de-)stabilizing? Theory and experiments," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 44-63.
  13. Enders, Zeno & Hakenes, Hendrik Hakenes, 2014. "On the Existence and Prevention of Speculative Bubbles," Working Papers 0567, University of Heidelberg, Department of Economics.
  14. Michele Berardi, 2015. "Prices, fundamental values and learning," Centre for Growth and Business Cycle Research Discussion Paper Series 214, Economics, The University of Manchester.
  15. Namun Cho & Tae-Seok Jang, 2019. "Asset Market Volatility and New Keynesian Macroeconomics: A Game-Theoretic Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 245-266, June.
  16. Hommes, Cars & Zhu, Mei, 2014. "Behavioral learning equilibria," Journal of Economic Theory, Elsevier, vol. 150(C), pages 778-814.
  17. Andrea Giusto, 2015. "Learning to Agree: A New Perspective on Price Drift," Economics Bulletin, AccessEcon, vol. 35(1), pages 276-282.
  18. Itamar Caspi & Nico Katzke & Rangan Gupta, 2014. "Date Stamping Historical Oil Price Bubbles: 1876-2014," Working Papers 201445, University of Pretoria, Department of Economics.
  19. Herrera Luis & Vázquez Jesús, 2023. "Interpreting Structural Shocks and Assessing Their Historical Importance," The B.E. Journal of Macroeconomics, De Gruyter, vol. 23(1), pages 375-425, January.
  20. Ikeda, Taro, 2014. "Asymmetric preferences in real-time learning and the Taylor rule," Economics Letters, Elsevier, vol. 124(3), pages 487-489.
  21. Driscoll, John C. & Holden, Steinar, 2014. "Behavioral economics and macroeconomic models," Journal of Macroeconomics, Elsevier, vol. 41(C), pages 133-147.
  22. Berardi, Michele, 2026. "Uncertainty, sentiments and time-varying risk premia," The North American Journal of Economics and Finance, Elsevier, vol. 84(C).
  23. Aitken, Michael & Cumming, Douglas & Zhan, Feng, 2015. "High frequency trading and end-of-day price dislocation," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 330-349.
  24. Elias, Christopher J., 2016. "Asset pricing with expectation shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 65(C), pages 68-82.
  25. William A. Branch & George W. Evans, 2017. "Unstable Inflation Targets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(4), pages 767-806, June.
  26. Zhang, Renbin & Zhang, Tongbin, 2025. "The AH premium: A tale of “siamese twin” stocks," Journal of Empirical Finance, Elsevier, vol. 81(C).
  27. Juan Carlos Castro Fernández & Juan Carlos Castro Fern�ndez, 2022. "Big Recessions and Slow Recoveries," Documentos de Trabajo UEC 20128, Universidad Externado de Colombia.
  28. Klaus Adam & Albert Marcet & Johannes Beutel, 2017. "Stock Price Booms and Expected Capital Gains," American Economic Review, American Economic Association, vol. 107(8), pages 2352-2408, August.
  29. Milani, Fabio, 2017. "Learning about the interdependence between the macroeconomy and the stock market," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 223-242.
  30. Takashi Kamihigashi, 2011. "Recurrent Bubbles," The Japanese Economic Review, Japanese Economic Association, vol. 62(1), pages 27-62, March.
  31. Georges, Christophre & Pereira, Javier, 2021. "Market stability with machine learning agents," Journal of Economic Dynamics and Control, Elsevier, vol. 122(C).
  32. Michele Berardi, 2016. "Endogenous time-varying risk aversion and asset returns," Journal of Evolutionary Economics, Springer, vol. 26(3), pages 581-601, July.
  33. Gáti, Laura, 2023. "Monetary policy & anchored expectations—An endogenous gain learning model," Journal of Monetary Economics, Elsevier, vol. 140(S), pages 37-47.
  34. Sudipto Bhattacharya & Charles A.E. Goodhart & Dimitrios P. Tsomocos & Alexandros P. Vardoulakis, 2019. "A Reconsideration of Minsky’s Financial Instability Hypothesis," Chapters, in: Financial Regulation and Stability, chapter 6, pages 158-200, Edward Elgar Publishing.
  35. Chiarella, Carl & He, Xue-Zhong & Zwinkels, Remco C.J., 2014. "Heterogeneous expectations in asset pricing: Empirical evidence from the S&P500," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 1-16.
  36. Ortiz, Marco, 2013. "Learning Through the Yield Curve," Working Papers 2013-018, Banco Central de Reserva del Perú.
  37. Branch, William & McGough, Bruce, 2016. "Heterogeneous beliefs and trading inefficiencies," Journal of Economic Theory, Elsevier, vol. 163(C), pages 786-818.
  38. Hommes, Cars H., 2014. "Behaviorally Rational Expectations and Almost Self-Fulfilling Equilibria," Review of Behavioral Economics, now publishers, vol. 1(1-2), pages 75-97, January.
  39. Matthijs Lof, 2015. "Rational Speculators, Contrarians, and Excess Volatility," Management Science, INFORMS, vol. 61(8), pages 1889-1901, August.
  40. Pignataro, Giuseppe & Raggi, Davide & Pancotto, Francesca, 2024. "On the role of fundamentals, private signals, and beauty contests to predict exchange rates," International Journal of Forecasting, Elsevier, vol. 40(2), pages 687-705.
  41. Andrew Filardo & Paul Hubert & Phurichai Rungcharoenkitkul, 2019. "The reaction function channel of monetary policy and the financial cycle," Sciences Po Economics Publications (main) hal-03403260, HAL.
  42. Chevillon, Guillaume & Mavroeidis, Sophocles, 2018. "Perpetual learning and apparent long memory," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 343-365.
  43. Branch, William A. & Evans, George W., 2013. "Bubbles, crashes and risk," Economics Letters, Elsevier, vol. 120(2), pages 254-258.
  44. Giusto, Andrea, 2014. "Adaptive learning and distributional dynamics in an incomplete markets model," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 317-333.
  45. Andrea Giusto, 2015. "Approximate aggregation revisited: higher moments do matter," Applied Economics Letters, Taylor & Francis Journals, vol. 22(14), pages 1138-1143, September.
  46. LeBaron, Blake, 2012. "Heterogeneous gain learning and the dynamics of asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 424-445.
  47. Panopoulou, Ekaterini & Pantelidis, Theologos, 2015. "Speculative behaviour and oil price predictability," Economic Modelling, Elsevier, vol. 47(C), pages 128-136.
  48. Kuang, Pei & Mitra, Kaushik, 2016. "Long-run growth uncertainty," Journal of Monetary Economics, Elsevier, vol. 79(C), pages 67-80.
  49. Kieran McQuinn & Teresa Monteiro & Conor O’Toole, 2021. "House Price Expectations, Labour Market Developments and the House Price to Rent Ratio: A User Cost of Capital Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 62(1), pages 25-47, January.
  50. Holden, Steinar, 2012. "Implications of Insights from Behavioral Economics for Macroeconomic Models," Memorandum 25/2012, Oslo University, Department of Economics.
  51. Zhang, Tongbin, 2021. "Stock prices and the risk-free rate: An internal rationality approach," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
  52. Luisa Corrado & Tobias Schuler, 2018. "Financial Cycles, Credit Bubbles and Stabilization Policies," CESifo Working Paper Series 7422, CESifo.
  53. Broer, Tobias & Kero, Afroditi, 2011. "Great Moderation or Great Mistake: Can rising confidence in low macro-risk explain the boom in asset prices?," CEPR Discussion Papers 8700, Centre for Economic Policy Research.
  54. Xu, Hai-Chuan & Zhang, Wei & Xiong, Xiong & Wang, Xue & Zhou, Wei-Xing, 2021. "The double-edged role of social learning: Flash crash and lower total volatility," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 405-420.
  55. Georges, Christophre, 2015. "Risk preference and stability under learning," Economics Letters, Elsevier, vol. 132(C), pages 105-108.
  56. Pei Kuang, 2013. "Imperfect Knowledge About Asset Prices and Credit Cycles," Discussion Papers 13-02r, Department of Economics, University of Birmingham.
  57. Gaus, Eric & Sinha, Arunima, 2017. "Characterizing investor expectations for assets with varying risk," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 990-999.
  58. Shin, Michael, 2021. "Subjective expectations, experiences, and stock market participation: Evidence from the lab," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 672-689.
  59. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
  60. Yanhao (Max) Wei & Anthony Dukes, 2021. "Cryptocurrency Adoption with Speculative Price Bubbles," Marketing Science, INFORMS, vol. 40(2), pages 241-260, March.
  61. Dieci, Roberto & Westerhoff, Frank, 2016. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear economic dynamics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 21-44.
  62. Zhu, Xiaoneng, 2013. "Perpetual learning and stock return predictability," Economics Letters, Elsevier, vol. 121(1), pages 19-22.
  63. Pei Kuang & Kaushik Mitra, 2025. "Potential Output Pessimism and Austerity in the European Union," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 57(7), pages 1871-1905, October.
  64. Neil Kellard & Denise Osborn & Jerry Coakley & Isabel Figuerola-Ferretti & Christopher L. Gilbert & J. Roderick McCrorie, 2015. "Testing for Mild Explosivity and Bubbles in LME Non-Ferrous Metals Prices," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(5), pages 763-782, September.
  65. Airaudo, Marco & Cardani, Roberta & Lansing, Kevin J., 2013. "Monetary policy and asset prices with belief-driven fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1453-1478.
  66. Michele Berardi, 2020. "Learning from Prices: Information Aggregation and Accumulation in an Asset Price Model," Economics Discussion Paper Series 2009, Economics, The University of Manchester.
  67. Branch, William A. & Evans, George W., 2013. "Bubbles, crashes and risk," Economics Letters, Elsevier, vol. 120(2), pages 254-258.
  68. repec:ipg:wpaper:2014-586 is not listed on IDEAS
  69. Jonathan Cook, 2017. "Estimating the portion of technical analysts in a market," Applied Economics, Taylor & Francis Journals, vol. 49(41), pages 4127-4137, September.
  70. Moreira, Afonso M. & Martins, Luis F., 2020. "A new mechanism for anticipating price exuberance," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 199-221.
  71. Xing, Dun-Zhong & Li, Hai-Feng & Li, Jiang-Cheng & Long, Chao, 2021. "Forecasting price of financial market crash via a new nonlinear potential GARCH model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
  72. Kuang, Pei & Yao, Yao, 2017. "Are rational explosive solutions learnable?," Economics Letters, Elsevier, vol. 157(C), pages 62-66.
  73. Pei Kuang & Li Tang & Renbin Zhang & Tongbin Zhang, 2025. "Are survey stock price forecasts anchored by fundamental forecasts? A long-run perspective," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 79(2), pages 657-685, March.
  74. Branch, William A., 2016. "Imperfect knowledge, liquidity and bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 17-42.
  75. Michele Berardi, 2016. "Herding through learning in an asset pricing model," Centre for Growth and Business Cycle Research Discussion Paper Series 223, Economics, The University of Manchester.
  76. Taro Ikeda, 2017. "Asymmetric Preferences and the Stability Problem for Optimal Monetary Policy Rules," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(8), pages 1831-1838, December.
  77. repec:spo:wpmain:info:hdl:2441/mqe122bu9lprrh0g2eloopgd is not listed on IDEAS
  78. repec:kob:wpaper:1637 is not listed on IDEAS
  79. Klaus Adam & Albert Marcet & Juan Pablo Nicolini, 2016. "Stock Market Volatility and Learning," Journal of Finance, American Finance Association, vol. 71(1), pages 33-82, February.
  80. Lof, Matthijs, 2013. "Essays on Expectations and the Econometrics of Asset Pricing," MPRA Paper 59064, University Library of Munich, Germany.
  81. Taro Ikeda, 2016. "Relume: A fractal analysis for the US stock market," Discussion Papers 1637, Graduate School of Economics, Kobe University.
  82. Thorsten Lehnert, 2020. "Fear and stock price bubbles," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-17, May.
  83. Mikhail Anufriev & Cars Hommes, 2012. "Evolutionary Selection of Individual Expectations and Aggregate Outcomes in Asset Pricing Experiments," American Economic Journal: Microeconomics, American Economic Association, vol. 4(4), pages 35-64, November.
  84. Jorge Mario Uribe Gil, 2013. "Testing for multiple bubbles with daily data," Documentos de Trabajo 11028, Universidad del Valle, CIDSE.
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